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NSF Workshop Sponsorship for the Second International Workshop on Social Computing, Behavioral Modeling, and Prediction

NSF Workshop Sponsorship for the Second International Workshop on Social Computing, Behavioral Modeling, and Prediction
NSF 研讨会赞助第二届社会计算、行为建模和预测国际研讨会
批准号:
0908506
负责人:
Huan Liu
金额:
$0.2万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-01-15 至 2009-12-31

项目摘要

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中文摘要
翻译
社会计算,行为建模和预测研讨会提供了一个跨学科的平台,鼓励传统上不相交的领域,如社会学,心理学,行为科学,认知科学,数学,计算机科学,宗教研究和工程的研究人员交流思想和发现,加强国家的相互理解#8208;的#8208;艺术发展在个别领域,发展跨#8208;学科意识,促进合作研究的机会,并为研究生提供一个有利的环境。在过去的几年里,社交网络的出现对计算机和社会产生了深远的影响。一个相关的例子来自社交网络,来自不同文化和社会背景的个人在社交网络中互动并交换信息。在这种情况下,了解这种社交网络的发展以及作为这种网络一部分的个人的行为将是有用的,以深入了解不同的文化和社会行为模式,这些可以形成预测模型的基础。本次研讨会的重点不仅是社会计算的应用,而且还包括来自不同领域的研究,可以提供洞察力。计算机科学家是这个研究社区的关键成员,但社会科学家也是不可或缺的。该讲习班为该领域的研究人员提供了一个培训场所。该讲习班将使社区认识到这种研究在各个领域的用途。研讨会将通过网络直播,包括无法参加的人,并将导致一个程序作为一本书出版的施普林格。
英文摘要
The Workshop on Social Computing, Behavioral Modeling, and Prediction provides an interdisciplinary platform to encourage researchers of traditionally disjoint fields such as sociology, psychology, behavioral science, cognitive science, mathematics, computer science, religious studies, and engineering to exchange ideas and findings, enhance mutual understanding of state‐of‐the art development in individual fields, develop cross‐discipline awareness, promote collaborative research opportunities, and offer a conducive environment for graduate students. In the last few years, the emergence of the social web has had a profound influence on computing and on society. A pertinent example stems from social networks where individuals from various cultural and social backgrounds interact and exchange information. In such a scenario, it will be useful to understand the development of such social networks and the behavior of individuals who are part of such networks to gain insight into different cultures and patterns of social behavior that can form the basis for predictive models. The focus of this workshop is not only on applications pf social computing but also on the encompassing research from varied areas that can provide insight. Computer scientists are key members of this community of researchers but social scientists are integral as well. This workshop provides a training ground for budding researchers in the area. This workshop will create awareness among the community about the uses of such research to various areas. The workshop will be webcast to include people that are unable to attend, and will result in a proceedings published as a book by Springer.
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会议论文
SaTC: EDU: AI for Cybersecurity Education via an LLM-enabled Security Knowledge Graph
  • 批准号:
    2335666
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2024
  • 负责人:
    Huan Liu
  • 依托单位:
III: SMALL: Graph Contrastive Learning for Few-Shot Node Classification
  • 批准号:
    2229461
  • 项目类别:
    Standard Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2023
  • 负责人:
    Huan Liu
  • 依托单位:
EAGER: SaTC-EDU: Artificial Intelligence for Cybersecurity Education via a Machine Learning-Enabled Security Knowledge Graph
  • 批准号:
    2114789
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2021
  • 负责人:
    Huan Liu
  • 依托单位:
III: Small: Discovering and Characterizing Implicit Links in Graph Data
  • 批准号:
    1614576
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.51万
  • 财政年份:
    2016
  • 负责人:
    Huan Liu
  • 依托单位:
海外基金